index.Rmd

---
title: "AnVIL Urban Genomics: Identifying population structure among feral pigeon populations"
date: "`r format(Sys.time(), '%B %d, %Y')`"
site: bookdown::bookdown_site
documentclass: book
bibliography: book.bib
biblio-style: apalike
link-citations: yes
description: Description about Course/Book.
favicon: assets/AnVIL_style/anvil_favicon.ico
---


# About this Book {-}

This book is part of a series of books for the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) of the National Human Genome Research Institute (NHGRI). Learn more about AnVIL by visiting `https://anvilproject.org` or reading the [article in Cell Genomics](https://www.sciencedirect.com/science/article/pii/S2666979X21001063).

## Skills Level {-} 


<div class = "notice">
_Genetics_  
**Beginner**: minimal genetics knowledge needed
 
_Programming skills_  
**Beginner**: minimal programming experience needed
</div>

## Learning Objectives {-}

This activity addresses the following Core Concepts and Competencies as stated in the [Genetics Core Competencies](https://genetics-gsa.org/education/genetics-learning-framework/):

1. Core Competency: Critique large data sets and use bioinformatics to assess genetics data.
1. Core Competency: Generate and interpret graphs displaying experimental results.
1. Evolution and Population Genetics: Explain how natural selection and genetic drift can affect the elimination, maintenance or increase in frequency of various types of alleles (e.g. dominant, recessive, deleterious, beneficial) in a population.


This activity also addresses the following core competency from the Bioinformatics core competencies for undergraduate life sciences education from [NIBLSE] (https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0196878.t002):

1. Use bioinformatics tools to examine complex biological problems in evolution, information flow, and other important areas of biology.
1. Use command-line bioinformatics tools and write simple computer scripts.


## Course details {-}

**Course Audience**  

- Undergraduate biology majors
- Graduate students with less exposure to bioinformatics

**Course Prerequisites**  

- Layman understanding of genetics (understanding of DNA, genes, trait inheritance)
- Some previous exposure to graphing

**Class Type**  

- Lab
- Computer-based

**Class Size**  

- 1-50

**Lesson Duration**  

Coming soon!

**Assessment Type**  

- Short answer questions at each lab stage

## AnVIL Collection {-}

Please check out our full collection of AnVIL and related resources: https://hutchdatascience.org/AnVIL_Collection/